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Öz, Ö (2001) Sources of competitive advantage of Turkish construction companies in international markets. Construction Management and Economics, 19(02), 135-44.
Han, S S and Ofori, G (2001) Construction industry in China's regional economy, 1990-1998. Construction Management and Economics, 19(02), 189-205.
Lam, K C, Hu, T, Ng, S T, Skitmore, M R and Cheung, S O (2001) A fuzzy neural network approach for contractor prequalification. Construction Management and Economics, 19(02), 175-88.
- Type: Journal Article
- Keywords: contractor prequalification; fuzzy reasoning; neural network;
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446190150505108
- Abstract:
Non-linearity, uncertainty and subjectivity are the three predominant characteristics of contractors prequalification which lead to the process being more of an art than a scientific evaluation. A fuzzy neural network (FNN) model, amalgamating both the fuzzy set and neural network theories, has been developed aiming to improve the objectiveness of contractor prequalification. Through FNN theory, the fuzzy rules as used by the prequalifiers can be identified and the corresponding membership functions can be transformed. Eightyfive cases with detailed decision criteria and rules for prequalifying Hong Kong civil engineering contractors were collected. These cases were used for training (calibrating) and testing the FNN model. The performance of the FNN model was compared with the original results produced by the prequalifiers and those generated by the general feedforward neural network (GFNN, i.e. a crisp neural network) approach. Contractors’ ranking orders, the model efficiency (R2) and the mean absolute percentage error (MAPE) were examined during the testing phase. These results indicate the applicability of the neural network approach for contractor prequalification and the benefits of the FNN model over the GFNN model. The fuzzy neural network is a practical approach for modelling contractor prequalification.
Lingard, H and Holmes, N (2001) Understandings of occupational health and safety risk control in small business construction firms: barriers to implementing technological controls. Construction Management and Economics, 19(02), 217-26.
Ng, S T, Mak, M M Y, Skitmore, M R, Lam, K C and Varnam, M (2001) The predictive ability of Bromilow's time-cost model. Construction Management and Economics, 19(02), 165-73.
Ofori, G and Lean, C S (2001) Factors influencing development of construction enterprises in Singapore. Construction Management and Economics, 19(02), 145-54.
Raftery, J, Csete, J and Hui, S K-F (2001) Are risk attitudes robust? Qualitative evidence before and after a business cycle inflection. Construction Management and Economics, 19(02), 155-64.
Sözen, Z and Kayahan, O (2001) Correlates of the length of the relationship between main and specialist trade contractors in the construction industry. Construction Management and Economics, 19(02), 131-3.
Sawhney, A and Mund, A (2001) IntelliCranes: an integrated crane type and model selection system. Construction Management and Economics, 19(02), 227-37.
Tam, C M, Tong, T K L, Cheung, S O and Chan, A P C (2001) Genetic algorithm model in optimizing the use of labour. Construction Management and Economics, 19(02), 207-15.